gam

R package gam: Generalized Additive Models. Functions for fitting and working with generalized additive models, as described in chapter 7 of ”Statistical Models in S” (Chambers and Hastie (eds), 1991), and ”Generalized Additive Models” (Hastie and Tibshirani, 1990)

Keywords for this software

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References in zbMATH (referenced in 35 articles )

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  1. Chi Zhang, Jennifer Ahern, Mark J. van der Laan, Oleg Sofrygin: tmleCommunity: A R Package Implementing Target Maximum Likelihood Estimation for Community-level Data (2020) arXiv
  2. Choi, Byeong Yeob; Wang, Chen-Pin; Michalek, Joel; Gelfond, Jonathan: Power comparison for propensity score methods (2019)
  3. Maugis, Pierre-André G.: Correlation extrapolated (2019)
  4. Tan, Xin Lu: Optimal estimation of slope vector in high-dimensional linear transformation models (2019)
  5. Yuan, Beibei; Heiser, Willem; De Rooij, Mark: The (\delta)-machine: classification based on distances towards prototypes (2019)
  6. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  7. Chatla, Suneel Babu; Shmueli, Galit: Efficient estimation of COM-Poisson regression and a generalized additive model (2018)
  8. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018) not zbMATH
  9. Van der Laan, Mark J.; Rose, Sherri: Targeted learning in data science. Causal inference for complex longitudinal studies (2018)
  10. Adriano Zambom and Michael Akritas: NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection (2017) not zbMATH
  11. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  12. Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017) not zbMATH
  13. Samuel Lendle; Joshua Schwab; Maya Petersen; Mark van der Laan: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data (2017) not zbMATH
  14. Janon, Alexandre; Nodet, Maëlle; Prieur, Christophe; Prieur, Clémentine: Global sensitivity analysis for the boundary control of an open channel (2016)
  15. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  16. Delphine Dupuy; Céline Helbert; Jessica Franco: DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments (2015) not zbMATH
  17. Khandoker Bakar; Sujit Sahu: spTimer: Spatio-Temporal Bayesian Modeling Using R (2015) not zbMATH
  18. Meintanis, Simos G.; Einbeck, Jochen: Validation tests for semi-parametric models (2015)
  19. Brenton Kenkel; Curtis Signorino: Estimating Extensive Form Games in R (2014) not zbMATH
  20. Schnitzer, Mireille E.; Van der Laan, Mark J.; Moodie, Erica E. M.; Platt, Robert W.: Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data (2014)

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